A Novel Singular Value Decomposition-Based Denoising Method in 4-Dimensional Computed Tomography of the Brain in Stroke Patients with Statistical Evaluation

A Novel Singular Value Decomposition-Based Denoising Method in 4-Dimensional Computed Tomography of the Brain in Stroke Patients with Statistical Evaluation

Computed tomography (CT) is a widely used medical imaging modality for diagnosing various diseases. Among CT techniques, 4-dimensional CT perfusion (4D-CTP) of the brain is established in most centers for diagnosing strokes and is considered the gold standard for hyperacute stroke diagnosis. However...

Full description

Bibliographic Details
Main Authors: Wonseok Yang, Jun-Yong Hong, Jeong-Youn Kim, Seung-ho Paik, Seung Hyun Lee, Ji-Su Park, Gihyoun Lee, Beop Min Kim, Young-Jin Jung
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
acute stroke
computed tomography
image quality
singular value decomposition
Gaussian noise
contrast-to-noise
Online Access:https://www.mdpi.com/1424-8220/20/11/3063

Internet

https://www.mdpi.com/1424-8220/20/11/3063

Similar Items